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Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (STC)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (STC)ORCID iD: 0000-0002-3429-273X
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (STC)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (STC)
2017 (English)In: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras, New York, NY, USA: Association for Computing Machinery (ACM), 2017, Vol. F132201, p. 113-118Conference paper, Published paper (Refereed)
Abstract [en]

The design of multi-camera surveillance system comes with many advantages, for example it facilitates as understanding how flying objects act in a given volume. One possible application is for the observation interaction of birds and calculate their trajectories around wind turbines to create promising systems for preventing bird collisions with turbine blades. However, there are also challenges, such as finding the optimal node placement and camera calibration. To address these challenges we investigated a trade-off between calibration accuracy and node requirements, including resolution, modulation transfer function, field of view and angle baseline. We developed a strategy for camera placement to achieve improved coverage for golden eagle monitoring and tracking. This strategy based on the modified resolution criterion taking into account the contrast function of the camera and the estimation of the base angle between the cameras.

Place, publisher, year, edition, pages
New York, NY, USA: Association for Computing Machinery (ACM), 2017. Vol. F132201, p. 113-118
Keywords [en]
Multi-camera, outdoor monitoring, placement, camera calibration
National Category
Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-32726DOI: 10.1145/3131885.3131911Scopus ID: 2-s2.0-85038856097ISBN: 978-1-4503-5487-5 (electronic)OAI: oai:DiVA.org:miun-32726DiVA, id: diva2:1176643
Conference
The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University Stanford; United States; 5 September 2017 through 7 September 2017
Projects
SMARTAvailable from: 2018-01-23 Created: 2018-01-23 Last updated: 2018-01-26Bibliographically approved

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Publisher's full textScopushttps://dl.acm.org/citation.cfm?id=3131911

Authority records BETA

Fedorov, IgorLawal, NajeemO'Nils, MattiasAlqaysi, Hiba

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CiteExportLink to record
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Citation style
  • apa
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Output format
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